Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis
This model fitting tool incorporates cyclic coordinate descent and
majorization-minimization approaches to fit a variety of regression models
found in large-scale observational healthcare data. Implementations focus
on computational optimization and fine-scale parallelization to yield
efficient inference in massive datasets. Please see:
Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Version:
3.6.0
Depends:
R (≥ 3.5.0)
Published:
2025年07月18日
Author:
Marc A. Suchard [aut, cre],
Martijn J. Schuemie [aut],
Trevor R. Shaddox [aut],
Yuxi Tian [aut],
Jianxiao Yang [aut],
Eric Kawaguchi [aut],
Sushil Mittal [ctb],
Observational Health Data Sciences and Informatics [cph],
Marcus Geelnard [cph, ctb] (provided the TinyThread library),
Rutgers University [cph, ctb] (provided the HParSearch routine),
R Development Core Team [cph, ctb] (provided the ZeroIn routine)
Maintainer:
Marc A. Suchard <msuchard at ucla.edu>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
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